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首页> 外文期刊>Journal of Modern Power Systems and Clean Energy >A two-level hierarchical discrete-device control method for power networks with integrated wind farms
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A two-level hierarchical discrete-device control method for power networks with integrated wind farms

机译：具有集成风电场的电网的两级分级离散 - 器件控制方法

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Power systems depend on discrete devices, such as shunt capacitors/reactors and on-load tap changers, for their long-term reliability. In transmission systems that contain large wind farms, we must take into account the uncertainties in wind power generation when deciding when to operate these devices. In this paper, we describe a method to schedule the operation of these devices over the course of the following day. These schedules are designed to minimize wind-power generation curtailment, bus voltage violations, and dynamic reactive-power deviations, even under the worst possible conditions. Daily voltagecontrol decisions are initiated every 15 min using a dynamic optimization algorithm that predicts the state of the system over the next 4-hour period. For this, forecasts updated in real-time are employed, because they are more precise than forecasts for the day ahead. Day-ahead schedules are calculated using a two-stage robust mixedinteger optimization algorithm. The proposed control strategies were tested on a Chinese power network with wind power sources; the control performance was also validated numerically.
机译：电力系统取决于分立装置，例如分流电容器/反应器和负载分接开关，以实现它们的长期可靠性。在包含大型风电场的传输系统中，在决定何时操作这些设备时，我们必须考虑风力发电的不确定性。在本文中，我们描述了一种在第二天的过程中安排这些设备的操作的方法。这些计划旨在最大限度地减少风力发电缩减，总线电压违规和动态无功偏差，即使在最糟糕的情况下也是如此。每15分钟使用动态优化算法每15分钟启动每日VoltageControl决策，该算法在接下来的4小时内预测系统的状态。为此，采用实时更新的预测，因为它们比未来一天的预测更精确。使用两级鲁棒混合体优化算法计算前一天的时间表。拟议的控制策略在具有风电源的中国电网上进行了测试;控制性能也在数字上验证。

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